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This project contains supplementary material to the MUDE course. This is used to avoid adding large files to the main PyJive repository and for material not meant for students.
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Heather Andrews Mancilla / Git_Training
Creative Commons Attribution 4.0 InternationalUpdated -
Mark Swillus / SEM-Sandbox
GNU Affero General Public License v3.0Updated -
Seven modules that introduce first year students at Applied Physics Delft to Python & data-analysis
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SteeleLab / Data Explorer
MIT LicenseA library of functions to facilitate interactive data exploration
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CME4500 Engineering Systems Optimisation / Lesson material
Creative Commons Attribution 4.0 InternationalUpdated -
ConesabojLab / StrainMAPPER
GNU General Public License v3.0 or laterUpdated -
LR-FPP-MDO / KADMOS
Apache License 2.0Updated -
TeachBooks / Risk and Reliability
Creative Commons Attribution 4.0 InternationalTU Delft Open: https://doi.org/10.59490/tb.89 Book: https://teachbooks.tudelft.nl/risk-reliability
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